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technology-led strategic growth/product initiatives, particularly within the Market Research sector, Knowledge of database operations and data pipelines. Knowledge of python. About KTP: For 50 years, Knowledge
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the implementation of optimization algorithms using tools such as Python and MATLAB. Provide feedback on student progress and common challenges to the course instructor. Coordinate exam proctoring and ensure clear
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total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description University of California, San Francisco (UCSF) is distinguished as a
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comparable field Very good knowledge of quantitative research methods in medicine or health sciences Demonstrable subject-specific programming skills (e.g., R, Python, etc.) Experience with database usage (e.g
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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: • Ph.D. in computer science or related field • Expertise in AI/ML, deep learning • Expert proficiency in Python, PyTorch
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to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8228-NICCHE-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation
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Proven experience in causal inference or explainable AI, ideally documented through peer-reviewed publications Strong programming skills (preferably in Python), with experience in developing research
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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is part of the EUBURN program, led by CNRM (Météo-France/INSU, PI: C. Denjean; https://euburn.aeris-data.fr/ ), which addresses these gaps through coordinated ground-based and airborne measurement
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, interviews or choice experiments. C2. Strong statistical and modelling skills using R, Python, Stata, or equivalent. C3. Ability to integrate qualitative and quantitative data into coherent analytical